Search Results - "convolution neural network"

Cimiciato defect detection in hazelnuts: CNN models applied on X-ray images by Andrea Vitale, Matteo Giaccone, Antonio Gaetano Napolitano, Flavia de Benedetta, Laura Gargiulo, Giacomo Mele

Subjects: Get full text

Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

Subjects: Get full text

A U-Shaped Architecture Based on Hybrid CNN and Mamba for Medical Image Segmentation by Xiaoxuan Ma, Yingao Du, Dong Sui

Subjects: Get full text

A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System by Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

Subjects: Get full text

CNN for Computer Vision tasks by Р. Ковальчук, О. Польшакова

Subjects: Get full text

Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistance by Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Daisy Salifu, Brian Kanji, Frank T. Ndjomatchoua, Ritter A.Y. Guimapi, Sunday Ekesi, Landmann Tobias

Subjects: “…Combining Self-Organizing Maps (SOM) and Convolutional Neural Network (CNN) for improving model accuracy…”
Get full text

Leveraging LIME for Trustworthy Apple Quality Assessment by İsmail Kırbaş, Ahmet Çifci

Subjects: Get full text

Systematic Literature Review on Medical Image Captioning Using CNN-LSTM and Transformer-Based Models by Husni Fadhilah, Nugraha Priya Utama

Subjects: “…medical image captioning, convolutional neural network, transformer, healthcare ai, automatic report generation…”
Get full text

RDCU-Net: A Multi-Scale Residual Dilated Convolution U-Net with Spatial Pyramid Pooling for Brain Tumor Segmentation by Mohammad Soltani-Gol, Akbar Asgharzadeh-Bonab, Hamid Soltanian-Zadeh, Jalil Mazlum

Subjects: Get full text

Implementation of an AI English-Speaking Interactive Training System Using Multi-Model Neural Networks by Ching-Ta Lu, Yen-Yu Lu, Yi-Ru Lu, Ying-Chen Pan, Yu-Chun Liu

Subjects: Get full text

Tea Disease Detection Method Based on Improved YOLOv8 in Complex Background by Junchen Ai, Yadong Li, Shengxiang Gao, Rongsheng Hu, Wengang Che

Subjects: Get full text

Optimized image-based grouping of e-commerce products using deep hierarchical clustering by Yuliana Melita Pranoto, Anik Nur Handayani, Heru Wahyu Herwanto, Yosi Kristian

Subjects: Get full text

Automatic Sugarcane Disease Detection and Outbreak Alert System using Deep Learning by Munaf Rashid, Zuha Khan, Saeed Usmani, Asadullah Maliyawala, Kashif Iqbal

Subjects: Get full text

Hybrid CNN-LSTM With Attention Mechanism for Robust Credit Card Fraud Detection by Iman Akour, Nour Mohamed, Said Salloum

Subjects: Get full text

Shoe Recommendation System Integrating Generative Artificial Intelligence and Convolutional Neural Networks for Image Recognition by Chin-Chih Chang, Chi-Hung Wei, Ray-Nan Liao, Sean Hsiao, Chyuan-Huei Thomas Yang

Subjects: “…convolutional neural network (CNN)…”
Get full text

Applying Deep Learning Methods for a Large-Scale Riparian Vegetation Classification from High-Resolution Multimodal Aerial Remote Sensing Data by Marcel Reinhardt, Edvinas Rommel, Maike Heuner, Björn Baschek

Subjects: Get full text

Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

Subjects: Get full text

CNN-Based Phase Matching for the OAM Mode Selection in Turbulence Heterodyne Coherent Mitigation Links by Chunyong Yang, Kaige Shan, Jun Chen, Jin Hou, Shaoping Chen

Subjects: Get full text

Pears Internal Quality Inspection Based on X-Ray Imaging and Multi-Criteria Decision Fusion Model by Zeqing Yang, Jiahui Zhang, Zhimeng Li, Ning Hu, Zhengpan Qi

Subjects: Get full text

Automatic detection of lucky bamboo nodes based on Improved YOLOv7 by Jing Zhang, Jing Zhang, Jing Zhang, Ruoling Deng, Ruoling Deng, Ruoling Deng, Chengzhi Cai, Erpeng Zou, Haitao Liu, Haitao Liu, Mingxin Hou, Xinzhi Chen, Huamin Lin, Zhenye Wei

Subjects: Get full text